Results 241 to 250 of about 65,095 (302)
This study develops a dual‐bioinspired hydrogel, MSA@PGel (macrophage membrane‐coated and salvianolic acid B/5‐aminolevulinic acid co‐loaded liposomes embedded in a polydopamine‐based gel), that integrates macrophage membrane‐mediated active targeting and mussel‐inspired wet adhesion for programmed intervention in oral precancerous lesions.
Xiaoxian Zhao +8 more
wiley +1 more source
OptISNV2: An Effective Deep Learning-Based Approach to Content-Based Image Retrieval Systems
Rajasekharam Gulla +2 more
openalex +2 more sources
Norbornene‐functionalized alginate is crosslinked with a di‐thiolated peptide sequence cleavable by cell‐secreted matrix metalloproteinases and decorated with cell‐adhesion peptides upon exposure to UV. Thyroid follicles, endometrial and intestinal organoids are encapsulated in a gentle manner with high cell viability and correct phenotype ...
Julia Fernández‐Pérez +8 more
wiley +1 more source
A deep dictionary clustering approach for unsupervised image retrieval using convolutional sparse coding. [PDF]
Sucharitha G +6 more
europepmc +1 more source
Introducing an efficient method for feature extraction in image retrieval systems. [PDF]
Zhao X, He F, Li K.
europepmc +1 more source
Ai-guided vectorization for efficient storage and semantic retrieval of visual data. [PDF]
Harby AA, Zulkernine F, Abdulsalam HM.
europepmc +1 more source
Deep Relevance Hashing for Remote Sensing Image Retrieval. [PDF]
Liu X, Chen X, Zhu G.
europepmc +1 more source
ZebraMap: A Multimodal Rare Disease Knowledge Map with Automated Data Aggregation & LLM-Enriched Information Extraction Pipeline. [PDF]
Islam MS, Jamal A, Alkhathlan A.
europepmc +1 more source
Improving image-retrieval performance of foundation models in gastrointestinal endoscopic images. [PDF]
Kim K, Park J, Kim SH, Hwang Y.
europepmc +1 more source
Semantic Kernel Updating for Content-Based Image Retrieval
Philippe-Henri Gosselin, Kévin Bailly
openalex +1 more source

